• Define strategy to develop and implement AI machine learning models focused on revenue optimization and cost reduction • Monitor model performance: Identify drift and orchestrate the retraining/update of models as necessary • Reimagine the frontline sales tech stack philosophy to create a unified AI workspace • Analyze sales activities to identify opportunities for AI augmentation or automation • Define technical requirements for systems interoperability • Lead the process of defining AI GTM projects tied to measurable improvements in EBITDA, Gross Margin, and Net Revenue Retention • Work with IT teams to ensure AI projects align with the sales organization needs • Create and maintain interactive dashboards and reports to visualize KPIs and model outputs

Role Description We're building the competitive intelligence tool that marketers, sales teams, and product managers actually use. As a co-founder, you will: - Help define go-to-market strategy and positioning - Bring domain expertise from the martech or competitive intelligence space - Engage with customers and prospects to validate and refine our approach - Contribute to product direction based on market knowledge - Represent IndustryLens with partners, at events, and in the market - Help build the team as we scale Qualifications - You know this space—you've worked in it, sold to it, or built products for it - You're excited about competitive intelligence as a category - You want to build something from the ground up - Experience working in martech, competitive intelligence, or B2B SaaS - Have held commercial, marketing, or product roles - Understand how B2B marketing teams work and what they need Requirements - You know this space—you've worked in it, sold to it, or built products for it - You're excited about competitive intelligence as a category - You want to build something from the ground up - Experience working in martech, competitive intelligence, or B2B SaaS - Have held commercial, marketing, or product roles - Understand how B2B marketing teams work and what they need Benefits - Significant equity stake at co-founder level - Autonomy to shape your role and the company's direction - A working product with early customer interest - A technical co-founder handling product and engineering - Flexibility—part-time or full-time, remote-friendly within Europe

• Leads the design and execution of annual school visits to observe technology-supported instruction • Develops observation protocols and interview tools • Facilitates structured interviews with stakeholders to yield comparable insights • Conducts in-depth technical interviews with product teams • Analyzes product impact data by reviewing internal and third-party research • Manages ethical data use and consent processes • Authors product specific essays and briefs translating findings into instructional implications • Maintains a centralized evidence database to support organizational strategy • Represents findings in conversations with state leaders and funders

• Translate healthcare business problems into AI-enabled use cases suitable for agent-based automation. • Design and implement AI/LLM-driven agents to support clinical and operational workflows. • Collaborate with clinical, operational, and business SMEs to map workflows and identify automation opportunities. • Apply LLMs, Retrieval Augmented Generation (RAG), prompt engineering, and workflow orchestration techniques. • Ensure HIPAA-compliant handling of PHI and adherence to responsible AI and data privacy standards. • Partner with data engineering, platform, and architecture teams to integrate AI agents into healthcare systems. • Support development of AI-enabled clinical and operational decision-support tools. • Document solution designs, AI workflows, risks, and implementation guidelines.